Pandas Profiling Report

Dataset statistics

Number of variables	18
Number of observations	113036
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	993
Duplicate rows (%)	0.9%
Total size in memory	65.4 MiB
Average record size in memory	607.0 B

Variable types

DateTime	1
Numeric	9
Categorical	6
Text	2

Alerts

Dataset has 993 (0.9%) duplicate rows	Duplicates
`Age_Group` is highly overall correlated with `Customer_Age`	High correlation
`Cost` is highly overall correlated with `Profit` and 3 other fields	High correlation
`Customer_Age` is highly overall correlated with `Age_Group`	High correlation
`Order_Quantity` is highly overall correlated with `Product_Category` and 2 other fields	High correlation
`Product_Category` is highly overall correlated with `Order_Quantity` and 3 other fields	High correlation
`Profit` is highly overall correlated with `Cost` and 3 other fields	High correlation
`Revenue` is highly overall correlated with `Cost` and 3 other fields	High correlation
`Sub_Category` is highly overall correlated with `Product_Category`	High correlation
`Unit_Cost` is highly overall correlated with `Cost` and 5 other fields	High correlation
`Unit_Price` is highly overall correlated with `Cost` and 5 other fields	High correlation

Reproduction

Analysis started	2024-09-11 12:42:31.737981
Analysis finished	2024-09-11 12:43:09.616436
Duration	37.88 seconds
Software version	ydata-profiling vv4.10.0
Download configuration	config.json

Date
Date

Distinct	1884
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Memory size	883.2 KiB

Minimum	2011-01-01 00:00:00
Maximum	2016-07-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Day
Real number (ℝ)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.665753

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	883.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.7815668
Coefficient of variation (CV)	0.56055825
Kurtosis	-1.1900824
Mean	15.665753
Median Absolute Deviation (MAD)	8
Skewness	0.013722013
Sum	1770794
Variance	77.115915
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
24	4078	3.6%
7	4072	3.6%
3	3998	3.5%
19	3996	3.5%
8	3986	3.5%
20	3986	3.5%
15	3968	3.5%
28	3938	3.5%
18	3830	3.4%
12	3826	3.4%
Other values (21)	73358	64.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3780	3.3%
2	3554	3.1%
3	3998	3.5%
4	3530	3.1%
5	3582	3.2%
6	3818	3.4%
7	4072	3.6%
8	3986	3.5%
9	3630	3.2%
10	3486	3.1%

Value	Count	Frequency (%)
31	2174	1.9%
30	3272	2.9%
29	3260	2.9%
28	3938	3.5%
27	3582	3.2%
26	3636	3.2%
25	3460	3.1%
24	4078	3.6%
23	3512	3.1%
22	3460	3.1%

Month
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.9 MiB

June	11234
December	11200
May	11128
April	10182
March	9674
Other values (7)	59618

Length

Max length	9
Median length	7
Mean length	6.0868042
Min length	3

Characters and Unicode

Total characters	688028
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	November
2nd row	November
3rd row	March
4th row	March
5th row	May

Common Values

Value	Count	Frequency (%)
June	11234	9.9%
December	11200	9.9%
May	11128	9.8%
April	10182	9.0%
March	9674	8.6%
January	9284	8.2%
February	9022	8.0%
October	8750	7.7%
November	8734	7.7%
August	8200	7.3%
Other values (2)	15628	13.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
june	11234	9.9%
december	11200	9.9%
may	11128	9.8%
april	10182	9.0%
march	9674	8.6%
january	9284	8.2%
february	9022	8.0%
october	8750	7.7%
november	8734	7.7%
august	8200	7.3%
Other values (2)	15628	13.8%

Most occurring characters

Value	Count	Frequency (%)
e	104572	15.2%
r	84034	12.2%
u	53402	7.8%
a	48392	7.0%
b	45872	6.7%
y	36896	5.4%
c	29624	4.3%
m	28100	4.1%
J	27980	4.1%
t	25116	3.7%
Other values (16)	204040	29.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	688028	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	104572	15.2%
r	84034	12.2%
u	53402	7.8%
a	48392	7.0%
b	45872	6.7%
y	36896	5.4%
c	29624	4.3%
m	28100	4.1%
J	27980	4.1%
t	25116	3.7%
Other values (16)	204040	29.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	688028	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	104572	15.2%
r	84034	12.2%
u	53402	7.8%
a	48392	7.0%
b	45872	6.7%
y	36896	5.4%
c	29624	4.3%
m	28100	4.1%
J	27980	4.1%
t	25116	3.7%
Other values (16)	204040	29.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	688028	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	104572	15.2%
r	84034	12.2%
u	53402	7.8%
a	48392	7.0%
b	45872	6.7%
y	36896	5.4%
c	29624	4.3%
m	28100	4.1%
J	27980	4.1%
t	25116	3.7%
Other values (16)	204040	29.7%

Year
Real number (ℝ)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2014.4017

Minimum	2011
Maximum	2016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	883.2 KiB

Quantile statistics

Minimum	2011
5-th percentile	2013
Q1	2013
median	2014
Q3	2016
95-th percentile	2016
Maximum	2016
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.2725104
Coefficient of variation (CV)	0.00063170636
Kurtosis	-0.51118635
Mean	2014.4017
Median Absolute Deviation (MAD)	1
Skewness	-0.37112037
Sum	2.2769992 × 10⁸
Variance	1.6192827
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2014	29398	26.0%
2016	29398	26.0%
2013	24443	21.6%
2015	24443	21.6%
2012	2677	2.4%
2011	2677	2.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2011	2677	2.4%
2012	2677	2.4%
2013	24443	21.6%
2014	29398	26.0%
2015	24443	21.6%
2016	29398	26.0%

Value	Count	Frequency (%)
2016	29398	26.0%
2015	24443	21.6%
2014	29398	26.0%
2013	24443	21.6%
2012	2677	2.4%
2011	2677	2.4%

Customer_Age
Real number (ℝ)

HIGH CORRELATION

Distinct	70
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35.919212

Minimum	17
Maximum	87
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	883.2 KiB

Quantile statistics

Minimum	17
5-th percentile	20
Q1	28
median	35
Q3	43
95-th percentile	56
Maximum	87
Range	70
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	11.021936
Coefficient of variation (CV)	0.3068535
Kurtosis	-0.1188735
Mean	35.919212
Median Absolute Deviation (MAD)	8
Skewness	0.52530027
Sum	4060164
Variance	121.48306
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31	4382	3.9%
34	4300	3.8%
29	4214	3.7%
32	4092	3.6%
28	3988	3.5%
35	3968	3.5%
33	3958	3.5%
30	3836	3.4%
40	3604	3.2%
37	3540	3.1%
Other values (60)	73154	64.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17	1306	1.2%
18	1760	1.6%
19	2010	1.8%
20	2020	1.8%
21	2230	2.0%
22	2636	2.3%
23	2826	2.5%
24	3040	2.7%
25	3050	2.7%
26	3352	3.0%

Value	Count	Frequency (%)
87	6	< 0.1%
86	8	< 0.1%
85	16	< 0.1%
84	18	< 0.1%
82	4	< 0.1%
81	12	< 0.1%
80	6	< 0.1%
79	10	< 0.1%
78	22	< 0.1%
77	16	< 0.1%

Age_Group
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.0 MiB

Adults (35-64)	55824
Young Adults (25-34)	38654
Youth (<25)	17828
Seniors (64+)	730

Length

Max length	20
Median length	14
Mean length	15.572154
Min length	11

Characters and Unicode

Total characters	1760214
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Youth (<25)
2nd row	Youth (<25)
3rd row	Adults (35-64)
4th row	Adults (35-64)
5th row	Adults (35-64)

Common Values

Value	Count	Frequency (%)
Adults (35-64)	55824	49.4%
Young Adults (25-34)	38654	34.2%
Youth (<25)	17828	15.8%
Seniors (64+)	730	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
adults	94478	35.7%
35-64	55824	21.1%
young	38654	14.6%
25-34	38654	14.6%
youth	17828	6.7%
25	17828	6.7%
seniors	730	0.3%
64	730	0.3%

Most occurring characters

Value	Count	Frequency (%)
	151690	8.6%
u	150960	8.6%
)	113036	6.4%
(	113036	6.4%
t	112306	6.4%
5	112306	6.4%
s	95208	5.4%
4	95208	5.4%
-	94478	5.4%
d	94478	5.4%
Other values (16)	627508	35.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1760214	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	151690	8.6%
u	150960	8.6%
)	113036	6.4%
(	113036	6.4%
t	112306	6.4%
5	112306	6.4%
s	95208	5.4%
4	95208	5.4%
-	94478	5.4%
d	94478	5.4%
Other values (16)	627508	35.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1760214	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	151690	8.6%
u	150960	8.6%
)	113036	6.4%
(	113036	6.4%
t	112306	6.4%
5	112306	6.4%
s	95208	5.4%
4	95208	5.4%
-	94478	5.4%
d	94478	5.4%
Other values (16)	627508	35.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1760214	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	151690	8.6%
u	150960	8.6%
)	113036	6.4%
(	113036	6.4%
t	112306	6.4%
5	112306	6.4%
s	95208	5.4%
4	95208	5.4%
-	94478	5.4%
d	94478	5.4%
Other values (16)	627508	35.6%

Customer_Gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.4 MiB

M	58312
F	54724

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	113036
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	M
4th row	M
5th row	F

Common Values

Value	Count	Frequency (%)
M	58312	51.6%
F	54724	48.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m	58312	51.6%
f	54724	48.4%

Most occurring characters

Value	Count	Frequency (%)
M	58312	51.6%
F	54724	48.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	113036	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
M	58312	51.6%
F	54724	48.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	113036	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
M	58312	51.6%
F	54724	48.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	113036	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
M	58312	51.6%
F	54724	48.4%

Country
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.4 MiB

United States	39206
Australia	23936
Canada	14178
United Kingdom	13620
Germany	11098

Length

Max length	14
Median length	13
Mean length	10.125305
Min length	6

Characters and Unicode

Total characters	1144524
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Canada
2nd row	Canada
3rd row	Australia
4th row	Australia
5th row	Australia

Common Values

Value	Count	Frequency (%)
United States	39206	34.7%
Australia	23936	21.2%
Canada	14178	12.5%
United Kingdom	13620	12.0%
Germany	11098	9.8%
France	10998	9.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
united	52826	31.8%
states	39206	23.6%
australia	23936	14.4%
canada	14178	8.5%
kingdom	13620	8.2%
germany	11098	6.7%
france	10998	6.6%

Most occurring characters

Value	Count	Frequency (%)
t	155174	13.6%
a	151708	13.3%
e	114128	10.0%
n	102720	9.0%
i	90382	7.9%
d	80624	7.0%
s	63142	5.5%
U	52826	4.6%
	52826	4.6%
r	46032	4.0%
Other values (13)	234962	20.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1144524	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	155174	13.6%
a	151708	13.3%
e	114128	10.0%
n	102720	9.0%
i	90382	7.9%
d	80624	7.0%
s	63142	5.5%
U	52826	4.6%
	52826	4.6%
r	46032	4.0%
Other values (13)	234962	20.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1144524	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	155174	13.6%
a	151708	13.3%
e	114128	10.0%
n	102720	9.0%
i	90382	7.9%
d	80624	7.0%
s	63142	5.5%
U	52826	4.6%
	52826	4.6%
r	46032	4.0%
Other values (13)	234962	20.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1144524	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	155174	13.6%
a	151708	13.3%
e	114128	10.0%
n	102720	9.0%
i	90382	7.9%
d	80624	7.0%
s	63142	5.5%
U	52826	4.6%
	52826	4.6%
r	46032	4.0%
Other values (13)	234962	20.5%

State
Text

Distinct	53
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.4 MiB

Length

Max length	19
Median length	17
Mean length	10.645387
Min length	4

Characters and Unicode

Total characters	1203312
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	British Columbia
2nd row	British Columbia
3rd row	New South Wales
4th row	New South Wales
5th row	New South Wales

Value	Count	Frequency (%)
california	22450	14.1%
british	14116	8.9%
columbia	14116	8.9%
england	13620	8.5%
south	11986	7.5%
washington	11264	7.1%
new	10432	6.5%
wales	10412	6.5%
victoria	6016	3.8%
seine	5490	3.4%
Other values (53)	39532	24.8%

Most occurring characters

Value	Count	Frequency (%)
a	132348	11.0%
i	128792	10.7%
n	113626	9.4%
o	77648	6.5%
l	75018	6.2%
e	71022	5.9%
r	66640	5.5%
s	58566	4.9%
t	51700	4.3%
	46398	3.9%
Other values (41)	381554	31.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1203312	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	132348	11.0%
i	128792	10.7%
n	113626	9.4%
o	77648	6.5%
l	75018	6.2%
e	71022	5.9%
r	66640	5.5%
s	58566	4.9%
t	51700	4.3%
	46398	3.9%
Other values (41)	381554	31.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1203312	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	132348	11.0%
i	128792	10.7%
n	113626	9.4%
o	77648	6.5%
l	75018	6.2%
e	71022	5.9%
r	66640	5.5%
s	58566	4.9%
t	51700	4.3%
	46398	3.9%
Other values (41)	381554	31.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1203312	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	132348	11.0%
i	128792	10.7%
n	113626	9.4%
o	77648	6.5%
l	75018	6.2%
e	71022	5.9%
r	66640	5.5%
s	58566	4.9%
t	51700	4.3%
	46398	3.9%
Other values (41)	381554	31.7%

Product_Category
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.3 MiB

Accessories	70120
Bikes	25982
Clothing	16934

Length

Max length	11
Median length	11
Mean length	9.1714321
Min length	5

Characters and Unicode

Total characters	1036702
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Accessories
2nd row	Accessories
3rd row	Accessories
4th row	Accessories
5th row	Accessories

Common Values

Value	Count	Frequency (%)
Accessories	70120	62.0%
Bikes	25982	23.0%
Clothing	16934	15.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
accessories	70120	62.0%
bikes	25982	23.0%
clothing	16934	15.0%

Most occurring characters

Value	Count	Frequency (%)
s	236342	22.8%
e	166222	16.0%
c	140240	13.5%
i	113036	10.9%
o	87054	8.4%
A	70120	6.8%
r	70120	6.8%
B	25982	2.5%
k	25982	2.5%
C	16934	1.6%
Other values (5)	84670	8.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1036702	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	236342	22.8%
e	166222	16.0%
c	140240	13.5%
i	113036	10.9%
o	87054	8.4%
A	70120	6.8%
r	70120	6.8%
B	25982	2.5%
k	25982	2.5%
C	16934	1.6%
Other values (5)	84670	8.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1036702	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	236342	22.8%
e	166222	16.0%
c	140240	13.5%
i	113036	10.9%
o	87054	8.4%
A	70120	6.8%
r	70120	6.8%
B	25982	2.5%
k	25982	2.5%
C	16934	1.6%
Other values (5)	84670	8.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1036702	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	236342	22.8%
e	166222	16.0%
c	140240	13.5%
i	113036	10.9%
o	87054	8.4%
A	70120	6.8%
r	70120	6.8%
B	25982	2.5%
k	25982	2.5%
C	16934	1.6%
Other values (5)	84670	8.2%

Sub_Category
Categorical

HIGH CORRELATION

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

Tires and Tubes	33870
Bottles and Cages	15876
Road Bikes	13430
Helmets	12158
Mountain Bikes	8854
Other values (12)	28848

Length

Max length	17
Median length	15
Mean length	11.852649
Min length	4

Characters and Unicode

Total characters	1339776
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bike Racks
2nd row	Bike Racks
3rd row	Bike Racks
4th row	Bike Racks
5th row	Bike Racks

Common Values

Value	Count	Frequency (%)
Tires and Tubes	33870	30.0%
Bottles and Cages	15876	14.0%
Road Bikes	13430	11.9%
Helmets	12158	10.8%
Mountain Bikes	8854	7.8%
Jerseys	6010	5.3%
Caps	4358	3.9%
Fenders	4032	3.6%
Touring Bikes	3698	3.3%
Gloves	2686	2.4%
Other values (7)	8064	7.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	49746	20.7%
tires	33870	14.1%
tubes	33870	14.1%
bikes	25982	10.8%
bottles	15876	6.6%
cages	15876	6.6%
road	13430	5.6%
helmets	12158	5.0%
mountain	8854	3.7%
jerseys	6010	2.5%
Other values (13)	25220	10.5%

Most occurring characters

Value	Count	Frequency (%)
e	178176	13.3%
s	169756	12.7%
	127856	9.5%
a	97782	7.3%
n	78776	5.9%
i	74786	5.6%
T	71438	5.3%
d	68998	5.1%
t	57312	4.3%
r	52540	3.9%
Other values (23)	362356	27.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1339776	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	178176	13.3%
s	169756	12.7%
	127856	9.5%
a	97782	7.3%
n	78776	5.9%
i	74786	5.6%
T	71438	5.3%
d	68998	5.1%
t	57312	4.3%
r	52540	3.9%
Other values (23)	362356	27.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1339776	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	178176	13.3%
s	169756	12.7%
	127856	9.5%
a	97782	7.3%
n	78776	5.9%
i	74786	5.6%
T	71438	5.3%
d	68998	5.1%
t	57312	4.3%
r	52540	3.9%
Other values (23)	362356	27.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1339776	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	178176	13.3%
s	169756	12.7%
	127856	9.5%
a	97782	7.3%
n	78776	5.9%
i	74786	5.6%
T	71438	5.3%
d	68998	5.1%
t	57312	4.3%
r	52540	3.9%
Other values (23)	362356	27.0%

Product
Text

Distinct	130
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.4 MiB

Length

Max length	31
Median length	26
Mean length	19.500301
Min length	12

Characters and Unicode

Total characters	2204236
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Hitch Rack - 4-Bike
2nd row	Hitch Rack - 4-Bike
3rd row	Hitch Rack - 4-Bike
4th row	Hitch Rack - 4-Bike
5th row	Hitch Rack - 4-Bike

Value	Count	Frequency (%)
tire	23454	6.2%
mountain	19108	5.1%
	18558	4.9%
bottle	15878	4.2%
tube	14694	3.9%
black	12672	3.4%
helmet	12160	3.2%
sport-100	12160	3.2%
oz	12126	3.2%
road	10904	2.9%
Other values (71)	225232	59.8%

Most occurring characters

Value	Count	Frequency (%)
	263910	12.0%
e	185490	8.4%
o	138060	6.3%
t	138040	6.3%
a	119102	5.4%
i	88934	4.0%
0	81764	3.7%
r	80274	3.6%
l	80122	3.6%
n	78616	3.6%
Other values (47)	949924	43.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2204236	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	263910	12.0%
e	185490	8.4%
o	138060	6.3%
t	138040	6.3%
a	119102	5.4%
i	88934	4.0%
0	81764	3.7%
r	80274	3.6%
l	80122	3.6%
n	78616	3.6%
Other values (47)	949924	43.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2204236	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	263910	12.0%
e	185490	8.4%
o	138060	6.3%
t	138040	6.3%
a	119102	5.4%
i	88934	4.0%
0	81764	3.7%
r	80274	3.6%
l	80122	3.6%
n	78616	3.6%
Other values (47)	949924	43.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2204236	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	263910	12.0%
e	185490	8.4%
o	138060	6.3%
t	138040	6.3%
a	119102	5.4%
i	88934	4.0%
0	81764	3.7%
r	80274	3.6%
l	80122	3.6%
n	78616	3.6%
Other values (47)	949924	43.1%

Order_Quantity
Real number (ℝ)

HIGH CORRELATION

Distinct	32
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.90166

Minimum	1
Maximum	32
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	883.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	10
Q3	20
95-th percentile	28
Maximum	32
Range	31
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	9.5618568
Coefficient of variation (CV)	0.80340533
Kurtosis	-1.2318761
Mean	11.90166
Median Absolute Deviation (MAD)	8
Skewness	0.37817927
Sum	1345316
Variance	91.429105
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=32)

Value	Count	Frequency (%)
1	22626	20.0%
2	7650	6.8%
3	5142	4.5%
4	3436	3.0%
6	3076	2.7%
5	3039	2.7%
18	3010	2.7%
7	2993	2.6%
24	2983	2.6%
16	2978	2.6%
Other values (22)	56103	49.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	22626	20.0%
2	7650	6.8%
3	5142	4.5%
4	3436	3.0%
5	3039	2.7%
6	3076	2.7%
7	2993	2.6%
8	2894	2.6%
9	2948	2.6%
10	2941	2.6%

Value	Count	Frequency (%)
32	258	0.2%
31	477	0.4%
30	2109	1.9%
29	2339	2.1%
28	2533	2.2%
27	2769	2.4%
26	2868	2.5%
25	2736	2.4%
24	2983	2.6%
23	2703	2.4%

Unit_Cost
Real number (ℝ)

HIGH CORRELATION

Distinct	34
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	267.29637

Minimum	1
Maximum	2171
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	883.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	9
Q3	42
95-th percentile	1555
Maximum	2171
Range	2170
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	549.83548
Coefficient of variation (CV)	2.0570257
Kurtosis	3.3382506
Mean	267.29637
Median Absolute Deviation (MAD)	7
Skewness	2.1115484
Sum	30214112
Variance	302319.06
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=34)

Value	Count	Frequency (%)
2	21312	18.9%
1	14592	12.9%
13	13960	12.4%
8	5718	5.1%
3	5562	4.9%
9	4920	4.4%
7	4358	3.9%
2171	3290	2.9%
38	3222	2.9%
1252	3126	2.8%
Other values (24)	32976	29.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	14592	12.9%
2	21312	18.9%
3	5562	4.9%
4	2444	2.2%
7	4358	3.9%
8	5718	5.1%
9	4920	4.4%
11	2030	1.8%
12	1006	0.9%
13	13960	12.4%

Value	Count	Frequency (%)
2171	3290	2.9%
1912	262	0.2%
1898	286	0.3%
1555	1862	1.6%
1519	648	0.6%
1482	2036	1.8%
1266	3018	2.7%
1252	3126	2.8%
1083	1634	1.4%
755	702	0.6%

Unit_Price
Real number (ℝ)

HIGH CORRELATION

Distinct	36
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	452.93843

Minimum	2
Maximum	3578
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	883.2 KiB

Quantile statistics

Minimum	2
5-th percentile	2
Q1	5
median	24
Q3	70
95-th percentile	2443
Maximum	3578
Range	3576
Interquartile range (IQR)	65

Descriptive statistics

Standard deviation	922.07122
Coefficient of variation (CV)	2.035754
Kurtosis	3.1499843
Mean	452.93843
Median Absolute Deviation (MAD)	19
Skewness	2.0880414
Sum	51198348
Variance	850215.33
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
5	21312	18.9%
35	13960	12.4%
2	10416	9.2%
9	8116	7.2%
4	4176	3.7%
22	4032	3.6%
3578	3290	2.9%
50	3222	2.9%
2295	3126	2.8%
2320	3018	2.7%
Other values (26)	38368	33.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	10416	9.2%
4	4176	3.7%
5	21312	18.9%
8	1804	1.6%
9	8116	7.2%
10	2444	2.2%
21	1686	1.5%
22	4032	3.6%
24	2682	2.4%
25	2238	2.0%

Value	Count	Frequency (%)
3578	3290	2.9%
3400	262	0.2%
3375	286	0.3%
2443	2510	2.2%
2384	2036	1.8%
2320	3018	2.7%
2295	3126	2.8%
1701	1634	1.4%
1215	702	0.6%
1120	2156	1.9%

Profit
Real number (ℝ)

HIGH CORRELATION

Distinct	1256
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	285.05166

Minimum	-30
Maximum	15096
Zeros	424
Zeros (%)	0.4%
Negative	58
Negative (%)	0.1%
Memory size	883.2 KiB

Quantile statistics

Minimum	-30
5-th percentile	5
Q1	29
median	101
Q3	358
95-th percentile	1031
Maximum	15096
Range	15126
Interquartile range (IQR)	329

Descriptive statistics

Standard deviation	453.88744
Coefficient of variation (CV)	1.5922989
Kurtosis	35.37105
Mean	285.05166
Median Absolute Deviation (MAD)	90
Skewness	4.0026618
Sum	32221100
Variance	206013.81
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	1493	1.3%
6	1434	1.3%
15	1373	1.2%
12	1331	1.2%
17	1232	1.1%
2	1220	1.1%
9	1173	1.0%
11	1147	1.0%
21	1100	1.0%
14	1066	0.9%
Other values (1246)	100467	88.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-30	1	< 0.1%
-29	1	< 0.1%
-25	2	< 0.1%
-24	3	< 0.1%
-22	1	< 0.1%
-19	1	< 0.1%
-18	1	< 0.1%
-16	1	< 0.1%
-13	1	< 0.1%
-12	2	< 0.1%

Value	Count	Frequency (%)
15096	1	< 0.1%
14055	1	< 0.1%
5638	1	< 0.1%
5628	1	< 0.1%
5485	7	< 0.1%
5342	18	< 0.1%
5056	5	< 0.1%
5000	1	< 0.1%
4626	2	< 0.1%
4229	1	< 0.1%

Cost
Real number (ℝ)

HIGH CORRELATION

Distinct	360
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	469.31869

Minimum	1
Maximum	42978
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	883.2 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	28
median	108
Q3	432
95-th percentile	2171
Maximum	42978
Range	42977
Interquartile range (IQR)	404

Descriptive statistics

Standard deviation	884.86612
Coefficient of variation (CV)	1.885427
Kurtosis	97.508784
Mean	469.31869
Median Absolute Deviation (MAD)	96
Skewness	5.0832393
Sum	53049908
Variance	782988.05
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1252	2319	2.1%
1266	2265	2.0%
2171	2242	2.0%
26	1757	1.6%
24	1698	1.5%
1482	1687	1.5%
344	1622	1.4%
8	1619	1.4%
12	1548	1.4%
18	1499	1.3%
Other values (350)	94780	83.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	640	0.6%
2	1438	1.3%
3	716	0.6%
4	1320	1.2%
5	541	0.5%
6	1369	1.2%
7	714	0.6%
8	1619	1.4%
9	881	0.8%
10	1223	1.1%

Value	Count	Frequency (%)
42978	1	< 0.1%
40014	1	< 0.1%
8684	65	0.1%
7648	2	< 0.1%
7592	5	< 0.1%
6513	258	0.2%
6220	57	0.1%
6076	20	< 0.1%
5736	28	< 0.1%
5694	17	< 0.1%

Revenue
Real number (ℝ)

HIGH CORRELATION

Distinct	1876
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	754.37036

Minimum	2
Maximum	58074
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	883.2 KiB

Quantile statistics

Minimum	2
5-th percentile	14
Q1	63
median	223
Q3	800
95-th percentile	3113
Maximum	58074
Range	58072
Interquartile range (IQR)	737

Descriptive statistics

Standard deviation	1309.0947
Coefficient of variation (CV)	1.7353474
Kurtosis	72.371545
Mean	754.37036
Median Absolute Deviation (MAD)	200
Skewness	4.6709078
Sum	85271008
Variance	1713728.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	824	0.7%
20	783	0.7%
10	763	0.7%
5	754	0.7%
30	752	0.7%
34	738	0.7%
59	697	0.6%
39	673	0.6%
8	672	0.6%
69	671	0.6%
Other values (1866)	105709	93.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	446	0.4%
3	261	0.2%
4	653	0.6%
5	754	0.7%
6	278	0.2%
7	306	0.3%
8	672	0.6%
9	511	0.5%
10	763	0.7%
11	138	0.1%

Value	Count	Frequency (%)
58074	1	< 0.1%
54069	1	< 0.1%
14312	1	< 0.1%
14169	7	< 0.1%
14026	18	< 0.1%
13740	5	< 0.1%
13310	2	< 0.1%
13230	1	< 0.1%
12648	1	< 0.1%
12451	8	< 0.1%

Auto

Heatmap
Table

	Age_Group	Cost	Country	Customer_Age	Customer_Gender	Day	Month	Order_Quantity	Product_Category	Profit	Revenue	Sub_Category	Unit_Cost	Unit_Price	Year
Age_Group	1.000	0.004	0.069	0.892	0.024	0.016	0.053	0.022	0.043	0.005	0.005	0.048	0.040	0.038	0.042
Cost	0.004	1.000	0.019	0.015	0.005	0.002	0.008	-0.197	0.159	0.895	0.989	0.161	0.905	0.901	-0.153
Country	0.069	0.019	1.000	0.072	0.024	0.021	0.033	0.045	0.096	0.018	0.014	0.082	0.082	0.073	0.031
Customer_Age	0.892	0.015	0.072	1.000	0.025	-0.015	0.039	0.021	0.063	0.025	0.020	0.040	0.014	0.014	0.041
Customer_Gender	0.024	0.005	0.024	0.025	1.000	0.017	0.029	0.013	0.012	0.008	0.005	0.020	0.034	0.027	0.026
Day	0.016	0.002	0.021	-0.015	0.017	1.000	0.043	-0.002	0.010	0.004	0.002	0.013	0.004	0.004	-0.007
Month	0.053	0.008	0.033	0.039	0.029	0.043	1.000	0.019	0.046	0.009	0.008	0.027	0.027	0.030	0.394
Order_Quantity	0.022	-0.197	0.045	0.021	0.013	-0.002	0.019	1.000	0.534	-0.125	-0.167	0.255	-0.509	-0.508	0.103
Product_Category	0.043	0.159	0.096	0.063	0.012	0.010	0.046	0.534	1.000	0.210	0.167	1.000	0.707	0.707	0.295
Profit	0.005	0.895	0.018	0.025	0.008	0.004	0.009	-0.125	0.210	1.000	0.944	0.157	0.800	0.816	-0.135
Revenue	0.005	0.989	0.014	0.020	0.005	0.002	0.008	-0.167	0.167	0.944	1.000	0.145	0.890	0.892	-0.149
Sub_Category	0.048	0.161	0.082	0.040	0.020	0.013	0.027	0.255	1.000	0.157	0.145	1.000	0.498	0.479	0.220
Unit_Cost	0.040	0.905	0.082	0.014	0.034	0.004	0.027	-0.509	0.707	0.800	0.890	0.498	1.000	0.997	-0.145
Unit_Price	0.038	0.901	0.073	0.014	0.027	0.004	0.030	-0.508	0.707	0.816	0.892	0.479	0.997	1.000	-0.145
Year	0.042	-0.153	0.031	0.041	0.026	-0.007	0.394	0.103	0.295	-0.135	-0.149	0.220	-0.145	-0.145	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Date	Day	Month	Year	Customer_Age	Age_Group	Customer_Gender	Country	State	Product_Category	Sub_Category	Product	Order_Quantity	Unit_Cost	Unit_Price	Profit	Cost	Revenue
0	2013-11-26	26	November	2013	19	Youth (<25)	M	Canada	British Columbia	Accessories	Bike Racks	Hitch Rack - 4-Bike	8	45	120	590	360	950
1	2015-11-26	26	November	2015	19	Youth (<25)	M	Canada	British Columbia	Accessories	Bike Racks	Hitch Rack - 4-Bike	8	45	120	590	360	950
2	2014-03-23	23	March	2014	49	Adults (35-64)	M	Australia	New South Wales	Accessories	Bike Racks	Hitch Rack - 4-Bike	23	45	120	1366	1035	2401
3	2016-03-23	23	March	2016	49	Adults (35-64)	M	Australia	New South Wales	Accessories	Bike Racks	Hitch Rack - 4-Bike	20	45	120	1188	900	2088
4	2014-05-15	15	May	2014	47	Adults (35-64)	F	Australia	New South Wales	Accessories	Bike Racks	Hitch Rack - 4-Bike	4	45	120	238	180	418
5	2016-05-15	15	May	2016	47	Adults (35-64)	F	Australia	New South Wales	Accessories	Bike Racks	Hitch Rack - 4-Bike	5	45	120	297	225	522
6	2014-05-22	22	May	2014	47	Adults (35-64)	F	Australia	Victoria	Accessories	Bike Racks	Hitch Rack - 4-Bike	4	45	120	199	180	379
7	2016-05-22	22	May	2016	47	Adults (35-64)	F	Australia	Victoria	Accessories	Bike Racks	Hitch Rack - 4-Bike	2	45	120	100	90	190
8	2014-02-22	22	February	2014	35	Adults (35-64)	M	Australia	Victoria	Accessories	Bike Racks	Hitch Rack - 4-Bike	22	45	120	1096	990	2086
9	2016-02-22	22	February	2016	35	Adults (35-64)	M	Australia	Victoria	Accessories	Bike Racks	Hitch Rack - 4-Bike	21	45	120	1046	945	1991

	Date	Day	Month	Year	Customer_Age	Age_Group	Customer_Gender	Country	State	Product_Category	Sub_Category	Product	Order_Quantity	Unit_Cost	Unit_Price	Profit	Cost	Revenue
113026	2013-07-08	8	July	2013	29	Young Adults (25-34)	M	Germany	Hessen	Clothing	Vests	Classic Vest, L	20	24	64	710	480	1190
113027	2015-07-08	8	July	2015	29	Young Adults (25-34)	M	Germany	Hessen	Clothing	Vests	Classic Vest, L	21	24	64	746	504	1250
113028	2013-12-28	28	December	2013	41	Adults (35-64)	M	United Kingdom	England	Clothing	Vests	Classic Vest, S	2	24	64	75	48	123
113029	2015-12-28	28	December	2015	41	Adults (35-64)	M	United Kingdom	England	Clothing	Vests	Classic Vest, S	2	24	64	75	48	123
113030	2014-04-12	12	April	2014	41	Adults (35-64)	M	United Kingdom	England	Clothing	Vests	Classic Vest, S	6	24	64	225	144	369
113031	2016-04-12	12	April	2016	41	Adults (35-64)	M	United Kingdom	England	Clothing	Vests	Classic Vest, S	3	24	64	112	72	184
113032	2014-04-02	2	April	2014	18	Youth (<25)	M	Australia	Queensland	Clothing	Vests	Classic Vest, M	22	24	64	655	528	1183
113033	2016-04-02	2	April	2016	18	Youth (<25)	M	Australia	Queensland	Clothing	Vests	Classic Vest, M	22	24	64	655	528	1183
113034	2014-03-04	4	March	2014	37	Adults (35-64)	F	France	Seine (Paris)	Clothing	Vests	Classic Vest, L	24	24	64	684	576	1260
113035	2016-03-04	4	March	2016	37	Adults (35-64)	F	France	Seine (Paris)	Clothing	Vests	Classic Vest, L	23	24	64	655	552	1207

Most frequently occurring

	Date	Day	Month	Year	Customer_Age	Age_Group	Customer_Gender	Country	State	Product_Category	Sub_Category	Product	Order_Quantity	Unit_Cost	Unit_Price	Profit	Cost	Revenue	# duplicates
17	2012-11-27	27	November	2012	27	Young Adults (25-34)	M	Canada	British Columbia	Bikes	Road Bikes	Road-650 Red, 44	2	487	783	576	974	1550	3
99	2013-09-15	15	September	2013	27	Young Adults (25-34)	F	Canada	British Columbia	Accessories	Tires and Tubes	Patch Kit/8 Patches	16	1	2	16	16	32	3
168	2013-11-22	22	November	2013	31	Young Adults (25-34)	F	Canada	British Columbia	Accessories	Bottles and Cages	Water Bottle - 30 oz.	22	2	5	65	44	109	3
311	2014-03-17	17	March	2014	35	Adults (35-64)	M	Canada	British Columbia	Accessories	Bottles and Cages	Water Bottle - 30 oz.	15	2	5	44	30	74	3
672	2015-11-19	19	November	2015	41	Adults (35-64)	M	United States	California	Accessories	Tires and Tubes	Patch Kit/8 Patches	18	1	2	17	18	35	3
680	2015-11-24	24	November	2015	41	Adults (35-64)	M	United States	California	Accessories	Tires and Tubes	Patch Kit/8 Patches	8	1	2	8	8	16	3
838	2016-03-29	29	March	2016	33	Young Adults (25-34)	F	Canada	British Columbia	Accessories	Tires and Tubes	Mountain Tire Tube	24	2	5	71	48	119	3
0	2011-02-20	20	February	2011	25	Young Adults (25-34)	F	Canada	British Columbia	Bikes	Road Bikes	Road-250 Red, 52	1	1519	2443	900	1519	2419	2
1	2011-03-03	3	March	2011	43	Adults (35-64)	F	United States	California	Bikes	Road Bikes	Road-150 Red, 44	1	2171	3578	1335	2171	3506	2
2	2011-03-24	24	March	2011	24	Youth (<25)	M	Australia	Victoria	Bikes	Road Bikes	Road-250 Black, 44	1	1555	2443	375	1555	1930	2

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories